The phantom collapse of student achievement in New York
By: John Cronin, Nate Jensen
When New York state released the first results of the exams under the Common Core State Standards, many wrongly believed that the results showed dramatic declines in student achievement. A closer look at the results showed that student achievement may have increased. Another lesson from the exams is that states need to closely coordinate new data with existing data when they switch to different measuring instruments.See More
This article was published outside of NWEA. The full text can be found at the link above.
Topics: Measurement & scaling
This Bellwether Education Partners webinar examines how education research can continue to offer meaningful, relevant information to policymakers and practitioners after the “lost year” of data from COVID disruptions to schools and testing.
By: Matthew Soldner, Megan Kuhfeld, Dan Goldhaber, Constance Lindsay, Allison Crean Davis
Parameter estimation accuracy of the effort-moderated IRT model under multiple assumption violations
This session from the National Council on Measurement in Education 2020 virtual conference presents new research findings on understanding and managing test-taking disengagement.
By: James Soland, Joseph Rios
This session from the National Council on Measurement in Education 2020 virtual conference presents new research findings on understanding and managing test-taking disengagement (presentation begins at 22:55).
This study investigated effort‐moderated (E‐M) scoring, in which item responses classified as rapid guesses are identified and excluded from scoring, and its affect on score distortion from disengaged test taking.
The 2020 MAP Growth Norms report presents mathematics, reading, language arts and science achievement and growth patterns for students attending public schools across the U.S. It includes details on the methodological approach, information on MAP Growth assessments, the tested student population and post-stratification weighting, growth modeling, and implications of the study for research and practice, as well as tables showing student and school status and growth norms, status percentiles, growth distributions, and growth percentiles
This book presents varied applications of artificial intelligence (AI) in test development, including research and successful examples of using AI technology in automated item generation, automated test assembly, automated scoring, and computerized adaptive testing.
By: Steven Wise
Rapid-guessing can distort test scores and adversely affect measurement. New research shows how disengaged responses can also distort content representation.
By: Steven Wise